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HippoRAG

<h1 align="center">HippoRAG 2: From RAG to Memory</h1>

Knowledge RetrievalKnowledge Base Q&AWorkflow AutomationNode-based WorkflowEvaluation Suite
Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot3.5k stars

358 forks · 14 contributors
Official first step Read manual preview Source repository

Preview status · 2026-05-17

What is HippoRAG?

01

Quick decision

Use this section to decide whether the project is worth a deeper read.
Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

<h1 align="center">HippoRAG 2: From RAG to Memory</h1>

RepositoryOSU-NLP-Group/HippoRAG

3.5k stars · 358 forks

02

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.
1

Installation and Setup

Related topics: Configuration System, Deployment Options

Sources: [README.md](https://github.com/OSU-NLP-Group/HippoRAG/blob/main/README.md)
2

Quick Start Guide

Related topics: Installation and Setup, HippoRAG Core Class

Sources: [README.md:150-165]()
3

Configuration System

Related topics: Installation and Setup, HippoRAG Core Class

Source: https://github.com/OSU-NLP-Group/HippoRAG / Human Manual
4

HippoRAG Core Class

Related topics: Knowledge Graph and Retrieval, Embedding Models

Sources: [setup.py:8-9]()
5

Knowledge Graph and Retrieval

Related topics: Embedding Store and Management, LLM Integrations

Sources: [src/hipporag/utils/config_utils.py:48-72]()

Sources: https://github.com/OSU-NLP-Group/HippoRAG, Human Manual, Project Pack evidence, and downstream validation signals.

03

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.
Stars3.5k stars
Forks358 forks
Contributors14 contributors
Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using HippoRAG with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

04

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.
1

Try the prompt first

Test the workflow without installing the upstream project.

preview
2

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual
3

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context
4

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify
pip install hipporag

Official start command · https://github.com/OSU-NLP-Group/HippoRAG#readme · verified: yes

05

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

HippoRAG Manual

HippoRAG is a graph-based Retrieval-Augmented Generation (RAG) framework designed to enable Large Language Models (LLMs) to identify and leverage connections within knowledge bases for imp...

Open the full manual
  1. HippoRAG Human Manual
  2. Table of Contents
  3. Installation and Setup
  4. Related Pages
  5. Overview
  6. System Requirements
  7. Python Version
  8. Hardware Requirements
1

Installation and Setup

Related topics: Configuration System, Deployment Options

Sources: [README.md](https://github.com/OSU-NLP-Group/HippoRAG/blob/main/README.md)
2

Quick Start Guide

Related topics: Installation and Setup, HippoRAG Core Class

Sources: [README.md:150-165]()
3

Configuration System

Related topics: Installation and Setup, HippoRAG Core Class

Source: https://github.com/OSU-NLP-Group/HippoRAG / Human Manual
4

HippoRAG Core Class

Related topics: Knowledge Graph and Retrieval, Embedding Models

Sources: [setup.py:8-9]()
5

Knowledge Graph and Retrieval

Related topics: Embedding Store and Management, LLM Integrations

Sources: [src/hipporag/utils/config_utils.py:48-72]()

06

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual
BundleComplete Project PackAssetAI Context PackAssetBoundary & Risk CardAssetHuman ManualAssetPitfall LogAssetPrompt PreviewAssetQuick StartManifestPROJECT_PACK.json

07

Preflight checks

Treat this preview as a planning asset, not proof that your local environment is ready.

08

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.
high

Review upstream issue

The source signal needs review before production use.

high

Review upstream issue

The source signal needs review before production use.

high

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.

medium

Review upstream issue

The source signal needs review before production use.